CN107657544A - A kind of automatic paying method of the improved electricity charge and system - Google Patents
A kind of automatic paying method of the improved electricity charge and system Download PDFInfo
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Abstract
The invention discloses a kind of electricity charge to pay method of calibration and system automatically, is related in power monitoring field.The system and method is in order to overcome the electricity electricity charge counted in the prior art to there is a situation where not being inconsistent with actually occurring, from quality of data angle, build the verification of the electricity payment quality of data, electricity payment data, which are administered, to be verified, data realize the reacquisition to low quality data, and are analyzed, without artificial interference, the overall data quality that data are calculated needed for self-help payment platform is lifted, further lifts the degree of accuracy of electricity electricity charge statistics.It is not only that power system provides accurate convenient application tool, while has saved power system human cost.
Description
Technical field
The present invention relates to pay method of calibration and system automatically in power monitoring field, a kind of electricity charge.
Background technology
With the continuous improvement of State Grid Corporation of China's level of IT application, informatization has become power grid enterprises' developing water
A flat important criterion.Self-help charging platform can further improve company to various service equipments and the pipe of system
Reason is horizontal, reduces management cost, strengthens comprehensive service capability, and and can further improves company to various service equipments and system
Managerial skills, reduce management cost, various data are concentrated, there is provided it is a variety of count, collect, analytic function, carry
Supported for decision data.
However, due to supporting the energy data of self-help charging platform more using link is related to by collecting, and easily exist
There is data transfer missing problem in each data transfer link, and then mistake occur in the electricity electricity charge for causing to calculate, its major reason
It is the firsthand material of current self-help charging platform indirect gain acquisition terminal, and data is not carried out when obtaining related data
Quality indicator, thus count the electricity electricity charge can there is a situation where not being inconsistent with actually occurring, miss by a mile, increase manually into
This, efficiency is low.
In addition, lacking the excavation and assessment to data value in the prior art, data analysis, error analysis etc. are not carried out,
So that staff can not know error producing cause, human cost is wasted.
The content of the invention
In order to solve the shortcomings of the prior art, it is an object of the invention in order to overcome the electricity counted in the prior art
The amount electricity charge there is a situation where not being inconsistent with actually occurring, and from quality of data angle, the quality of data verification of structure electricity payment, pay
Electricity charge data of receiving, which are administered, to be verified, and data realize the reacquisition to low quality data, and are analyzed, and lift self-help payment platform
The required overall data quality for calculating data, further lifts the degree of accuracy of electricity electricity charge statistics.
To achieve these goals, it is an aspect of the present invention to provide a kind of improved automatic paying method of the electricity charge, the party
Method comprises the following steps：
Step 1：User's energy information is obtained by acquisition terminal and power consumer is obtained by files on each of customers in database
Information；Described collection information includes electric energy meter mark, Data Date, data type, data point mark, electric energy indicating value etc., institute
The power consumer information stated includes power consumer industrial nature, load nature of electricity consumed, affiliated area, payment situation etc..
Step 2：Using electricity consumption as basic statistics unit to gathered data, data storage and transmission data carry out it is point-to-point it
Between the quality of data verification, wherein each point include front buffer data, main website data storage, business business data storage, electricity
Electricity charge statistics etc.；
Further, quality of data verification comprises the following steps：
First：Whether number of data verifies according to statistics, answer gathered data bar number consistent with actual acquisition bar number.When should gather
Number of data>During actual acquired data bar number, then electric energy meter gathered data in part fails, and data are imperfect；
When answering gathered data bar number<During actual acquired data bar number, then collecting device failure or answer gathered data setting wrong
By mistake.
Secondly：Data plausibility check is carried out, this electric energy indicating value-last time electric energy of same electric energy meter shows<0 and this
Electric energy indicating value>100, then electric energy indicating value is unreasonable；
Again：Data promptness verifies, and gathered data fails to be put in storage during scope of statistics, then data loading is not in time.
Finally：Counting user information and collection user electric energy meter information in whether there is null value, as Data Date for sky,
Data type is sky, electric energy indicating value is sky, user's industrial nature is sky, load nature of electricity consumed is empty, affiliated area is sky etc., is belonged to
Data message is imperfect.
Step 3：The qualified data of quality-monitoring are directly entered the electricity charge and adjust flow, the underproof data weight of quality-monitoring
New to start data acquisition and stream compression flow, the check of immediate data quality enters the electricity charge after passing through and adjusts flow；
Step 4：The underproof data analysis of quality-monitoring；Statistical analysis subscriber payment mode, the average arrearage amount of money, tire out
Meter urges expense number, receivable penalty, stealing duration, transgression for using electricity situation.
Further, using quartile analytic approach, the otherness of the quality of data of analysis prefectures and cities unit, and then judgement is
The no data quality problem caused by the physical equipment reason such as collecting device or electric energy meter.Angle is counted from problem, statistics is each
The generation accounting and trend of class problem, and then targetedly problem analysis reason.
Step 5：Electricity charge accounting is carried out based on the user data that examination ＆ verification passes through in self-help charging platform, and generates electricity consumption
Client's arrearage information；
Step 6：Work about electric power personnel inquire about the unqualified data source original of quality-monitoring by automatic fee control system
Cause, and arrange to overhaul.
Step 7：Electricity customers are paid the fees by self-service payment terminal.
To achieve these goals, another aspect of the present invention is to provide a kind of automatic payment system of the improved electricity charge, should
System includes following module：
Electric power data acquisition module：For electric power data information gathering, it obtains user's energy information by acquisition terminal
And power consumer information；Described collection information includes electric energy meter mark, Data Date, data type, data point mark, electric energy
Indicating value etc., described power consumer information include power consumer industrial nature, load nature of electricity consumed, affiliated area, payment situation.
Electric power data quality indicator module：Verified for the quality of data, the electric power data quality indicator module is from data
Four promptness, integrality, compliance and accuracy aspect verification data quality of transmission, it is the calculation again of electricity charge Accounting Model
Take, the main clause quality analysis of data analysis module provides the support of numerical value quality.
Electric power data analysis module：For Data Quality Analysis, by the variation tendency and composition of the quality of data influence because
Element, the inducement of the quality of data is found, and investigation work of the work about electric power personnel to power equipment is instructed according to Data Quality Analysis
Make., qualified data；Number of non-compliances evidence.Analysis to number of non-compliances evidence, including electric energy meter case study, acquisition terminal problem point
Analysis, transmission path issues analysis, matter of regional significance analysis etc.
Module is adjusted in the electricity charge：For adjusting demand charge, can directly enter for the user data verified by the quality of data
The row electricity charge are adjusted；For number of non-compliances according to data correction is carried out by the mode such as secondary acquisition or artificial amended record, pending data is reasonable
Carry out electricity charge statistics again afterwards.
Terminal output module：For the output of user terminal control electricity charge checking information and the biography of data quality analysis results
Pass, and the electricity charge information for adjusting completion is passed into payment terminal by coffret, Data Quality Analysis result is passed to
Display terminal.
Display module：Understand bad data source and error Producing reason for work about electric power personnel.
Beneficial effect
The present invention is in order to overcome the electricity electricity charge counted in the prior art to there is a situation where not being inconsistent with actually occurring, from data
Quality point is set out, and the quality of data verification of structure electricity payment, electricity payment data, which are administered, to be verified, and data are realized to low quality number
According to reacquisition, and analyzed, the overall data quality of data calculated needed for lifting self-help payment platform, further lifting
The degree of accuracy of electricity electricity charge statistics.
Brief description of the drawings
Fig. 1 is a kind of improved automatic paying method flow chart of the electricity charge provided by the invention.
Fig. 2 is a kind of improved automatic payment system structural representation of the electricity charge provided by the invention.
Embodiment
As shown in figure 1, the present invention provides a kind of improved automatic paying method of the electricity charge, this method comprises the following steps：
Step 1：User's energy information is obtained by acquisition terminal and power consumer is obtained by files on each of customers in database
Information；Described collection information includes electric energy meter mark, Data Date, data type, data point mark, electric energy indicating value etc., institute
The power consumer information stated includes power consumer industrial nature, load nature of electricity consumed, affiliated area, payment situation etc..
The acquisition terminal includes：The data acquisition equipments such as collector, concentrator.
Step 2：Using electricity consumption as basic statistics unit to gathered data, data storage and transmission data carry out it is point-to-point it
Between the quality of data verification, wherein each point include front buffer data, main website data storage, business business data storage, electricity
Electricity charge statistics etc.；
Further, quality of data verification comprises the following steps：
First：Whether number of data verifies according to statistics, answer gathered data bar number consistent with actual acquisition bar number.When should gather
Number of data>During actual acquired data bar number, then electric energy meter gathered data in part fails, and data are imperfect；
When answering gathered data bar number<During actual acquired data bar number, then collecting device failure or answer gathered data setting wrong
By mistake.
Secondly：Data plausibility check is carried out, this electric energy indicating value-last time electric energy of same electric energy meter shows<0 and this
Electric energy indicating value>100, then electric energy indicating value is unreasonable；
Again：Data promptness verifies, and gathered data fails to be put in storage during scope of statistics, then data loading is not in time.
Finally：Counting user information and collection user electric energy meter information in whether there is null value, as Data Date for sky,
Data type is sky, electric energy indicating value is sky, user's industrial nature is sky, load nature of electricity consumed is empty, affiliated area is sky etc., is belonged to
Data message is imperfect.
Further, the specific implementation method that the quality of data is checked is as follows：
Step 1：Statistic Source end data table quantity, the number of data of every table, the field of every table before Data Migration
Data, the field type of every table, data change frequency；
Step 2：The table quantity of statistics statistics target end data, the number of data of every table, every table after migration
Field data, the field type of every table, data change frequency；
Step 3：According to statistical formula Quality of Statistical Data：
Quality of data monitoring (data are established from four promptness of data access, integrality, compliance and accuracy angles
Quality=0.4 × V+0.3 × T+0.2 × I+0.1 × C；Wherein V：Accuracy, T：Promptness, I：Integrality, C：Compliance), respectively
Angle monitoring accounting situation is as follows：
Accuracy accounting 40%：Full dose comparison is carried out to mobile data content, checks that data content whether there is deviation；
Promptness accounting 30%：That is operation regulation time/produced from data to data and adjourn to the time that demand end consumed,
Not more than 100%；
Integrality accounting 20%：Data integrity verification is carried out i.e. from data bulk and comprising two angles of business tine,
Data bulk is mainly number of data, and the 50% of accounting integrality, business tine is the service fields that structural data includes, and is accounted for
Than the 50% of integrality；
Compliance accounting 10%：Whether consistent with source data monitor the information attribute type of access infrastructure data, root
Checked according to field is compared.
Step 3：The qualified data of quality-monitoring are directly entered the electricity charge and adjust flow, the underproof data weight of quality-monitoring
New to start data acquisition and stream compression flow, the check of immediate data quality enters the electricity charge after passing through and adjusts flow；
Step 4：The underproof data analysis of quality-monitoring；Statistical analysis subscriber payment mode, the average arrearage amount of money, tire out
Meter urges expense number, receivable penalty, stealing duration, transgression for using electricity situation.
Further, using quartile analytic approach, the otherness of the quality of data of analysis prefectures and cities unit, and then judgement is
The no data quality problem caused by the physical equipment reason such as collecting device or electric energy meter.Angle is counted from problem, statistics is each
The generation accounting and trend of class problem, and then targetedly problem analysis reason.
Step 5：Electricity charge accounting is carried out based on the user data that examination ＆ verification passes through in self-help charging platform, and generates electricity consumption
Client's arrearage information；
Step 6：Work about electric power personnel inquire about the unqualified data source original of quality-monitoring by automatic fee control system
Cause, and arrange to overhaul.
Step 7：Electricity customers are paid the fees by self-service payment terminal.
As shown in Fig. 2 another aspect of the present invention is to provide a kind of automatic payment system of the improved electricity charge, the system includes
Following module：
Electric power data acquisition module：For electric power data information gathering, it obtains user's energy information by acquisition terminal
And power consumer information；Described collection information includes electric energy meter mark, Data Date, data type, data point mark, electric energy
Indicating value etc., described power consumer information include power consumer industrial nature, load nature of electricity consumed, affiliated area, payment situation.
Electric power data quality indicator module：Verified for the quality of data, the electric power data quality indicator module is from data
Four promptness, integrality, compliance and accuracy aspect verification data quality of transmission, it is the calculation again of electricity charge Accounting Model
Take, the main clause quality analysis of data analysis module provides the support of numerical value quality.
Electric power data analysis module：For Data Quality Analysis, by the variation tendency and composition of the quality of data influence because
Element, the inducement of the quality of data is found, and investigation work of the work about electric power personnel to power equipment is instructed according to Data Quality Analysis
Make., qualified data；Number of non-compliances evidence.Analysis to number of non-compliances evidence, including electric energy meter case study, acquisition terminal problem point
Analysis, transmission path issues analysis, matter of regional significance analysis etc.
Module is adjusted in the electricity charge：For adjusting demand charge, can directly enter for the user data verified by the quality of data
The row electricity charge are adjusted；For number of non-compliances according to data correction is carried out by the mode such as secondary acquisition or artificial amended record, pending data is reasonable
Carry out electricity charge statistics again afterwards.
Terminal output module：For the output of user terminal control electricity charge checking information and the biography of data quality analysis results
Pass, and the electricity charge information for adjusting completion is passed into payment terminal by coffret, Data Quality Analysis result is passed to
Display terminal.
Display module：Understand bad data source and error Producing reason for work about electric power personnel.
Claims (8)
1. a kind of automatic paying method of the improved electricity charge, it is characterised in that this method comprises the following steps：
Step 1：User's energy information is obtained by electric power data acquisition module and electric power is obtained by files on each of customers in database
User profile；
Step 2：Using electricity consumption as basic statistics unit to gathered data, data storage and transmission data carry out it is point-to-point between
The quality of data verifies, and wherein each point includes front buffer data, main website data storage, business business data storage, the electricity electricity charge
Statistics；
Step 3：In electric power data quality indicator module, entering line quality monitoring, qualified data are directly entered electricity charge accounting stream
Journey, the underproof data of quality-monitoring restart data acquisition and stream compression flow, after the check of immediate data quality passes through
Flow is adjusted into the electricity charge；
Step 4：Enter the underproof data analysis of line quality monitoring in electric power data analysis module；Statistical analysis subscriber payment
Mode, the average arrearage amount of money, accumulative urge take number, receivable penalty, stealing duration, transgression for using electricity situation；
Step 5：The electricity charge are adjusted in module in self-help charging platform, and electricity charge accounting is carried out based on the user data that examination ＆ verification passes through,
And generate Electricity customers arrearage information；
Step 6：Work about electric power personnel inquire about the unqualified data source reason of quality-monitoring by automatic fee control system, and
Arrange maintenance.
Step 7：Electricity customers are paid the fees by self-service payment terminal in terminal output module.
A kind of 2. improved automatic paying method of the electricity charge as claimed in claim 1, it is characterised in that the collection described in step 1
Information includes electric energy meter mark, Data Date, data type, data point mark, electric energy indicating value etc., described power consumer information
Including power consumer industrial nature, load nature of electricity consumed, affiliated area, payment situation etc.；The acquisition terminal includes：Collector, collection
The data acquisition equipments such as middle device.
A kind of 3. improved automatic paying method of the electricity charge as claimed in claim 1, it is characterised in that the data described in step 2
Quality indicator comprises the following steps：
First：Whether number of data verifies according to statistics, answer gathered data bar number consistent with actual acquisition bar number.When answering gathered data
Bar number>During actual acquired data bar number, then electric energy meter gathered data in part fails, and data are imperfect；
When answering gathered data bar number<During actual acquired data bar number, then collecting device failure or answer gathered data set mistake；
Secondly：Data plausibility check is carried out, this electric energy indicating value-last time electric energy of same electric energy meter shows<0 and this electric energy
Indicating value>100, then electric energy indicating value is unreasonable；
Again：Data promptness verifies, and gathered data fails to be put in storage during scope of statistics, then data loading is not in time；
Finally：It whether there is null value in counting user information and the electric energy meter information of collection user, if Data Date is empty, data
Type is sky, electric energy indicating value is sky, user's industrial nature is sky, load nature of electricity consumed is empty, affiliated area is sky etc., belongs to data
Information is imperfect.
A kind of 4. improved automatic paying method of the electricity charge as claimed in claim 3, it is characterised in that the data described in step 2
Quality indicator specific method is as follows：
Step 1：Statistic Source end data table quantity, the number of data of every table, the Field Count of every table before Data Migration
According to, the field type of every table, data change frequency；
Step 2：The table quantity of statistics statistics target end data, the number of data of every table, the field of every table after migration
Data, the field type of every table, data change frequency；
Step 3：According to statistical formula Quality of Statistical Data：
Quality of data monitoring is established from four promptness of data access, integrality, compliance and accuracy angles：The quality of data
=0.4 × V+0.3 × T+0.2 × I+0.1 × C；Wherein V：Accuracy, T：Promptness, I：Integrality, C：Compliance, each angle
It is as follows to monitor accounting situation：
S1. accuracy accounting 40%：Full dose comparison is carried out to mobile data content, checks that data content whether there is deviation；
S2. promptness accounting 30%：That is operation regulation time/produced from data to data and adjourn to the time that demand end consumed,
Not more than 100%；
S3. integrality accounting 20%：Data integrity verification, number are carried out i.e. from data bulk and comprising two angles of business tine
Data bulk is mainly number of data, and the 50% of accounting integrality, business tine is the service fields that structural data includes, accounting
The 50% of integrality；
S4. compliance accounting 10%：Whether consistent with source data monitor the information attribute type of access infrastructure data, according to
Field is compared to be checked.
A kind of 5. improved automatic paying method of the electricity charge as claimed in claim 1, it is characterised in that the quality described in step 4
Monitor underproof data analysis and use quartile analytic approach, the otherness of the quality of data of analysis prefectures and cities unit, and then sentence
It is disconnected whether the data quality problem caused by the physical equipment reason such as collecting device or electric energy meter.
6. a kind of automatic payment system of the improved electricity charge, it is characterised in that the system includes following module：
Electric power data acquisition module：For electric power data information gathering, it obtains user's energy information and electricity by acquisition terminal
Power user profile；Described collection information includes electric energy meter mark, Data Date, data type, data point mark, electric energy and shown
Value, described power consumer information include power consumer industrial nature, load nature of electricity consumed, affiliated area, payment situation；
Electric power data quality indicator module：Verified for the quality of data, the electric power data quality indicator module is from data transfer
Promptness, integrality, compliance and the aspect verification data quality of accuracy four, be electricity charge Accounting Model the expense of calculation again,
The main clause quality analysis of data analysis module provides the support of numerical value quality；
Electric power data analysis module：For Data Quality Analysis, pass through the variation tendency and composition influence factor of the quality of data, hair
The inducement of the existing quality of data, and investigation work of the work about electric power personnel to power equipment is instructed according to Data Quality Analysis, it is qualified
Data；Number of non-compliances evidence.Analysis to number of non-compliances evidence, including electric energy meter case study, acquisition terminal case study, transmission road
Footpath case study, matter of regional significance analysis；
Module is adjusted in the electricity charge：For adjusting demand charge, electricity can be directly carried out for the user data verified by the quality of data
Take accounting；For number of non-compliances according to data correction is carried out by the mode such as secondary acquisition or artificial amended record, after pending data is reasonable again
Carry out electricity charge statistics；
Terminal output module：The output of electricity charge checking information and the transmission of data quality analysis results are controlled for user terminal,
And the electricity charge information for adjusting completion is passed into payment terminal by coffret, Data Quality Analysis result is passed into display
Terminal；
Display module：Understand bad data source and error Producing reason for work about electric power personnel.
A kind of 7. improved automatic payment system of the electricity charge as claimed in claim 6, it is characterised in that the quality of data verification
Module, it is configured as：Quality of data prison is established from four promptness of data access, integrality, compliance and accuracy angles
Survey：The quality of data=0.4 × V+0.3 × T+0.2 × I+0.1 × C；Wherein V：Accuracy, T：Promptness, I：Integrality, C：Close
Rule property.
A kind of 8. improved automatic payment system of the electricity charge as claimed in claim 7, it is characterised in that the quality of data verification
Module, it is configured as：
S1. accuracy accounting 40%：Full dose comparison is carried out to mobile data content, checks that data content whether there is deviation；
S2. promptness accounting 30%：That is operation regulation time/produced from data to data and adjourn to the time that demand end consumed,
Not more than 100%；
S3. integrality accounting 20%：Data integrity verification, number are carried out i.e. from data bulk and comprising two angles of business tine
Data bulk is mainly number of data, and the 50% of accounting integrality, business tine is the service fields that structural data includes, accounting
The 50% of integrality；
S4. compliance accounting 10%：Whether consistent with source data monitor the information attribute type of access infrastructure data, according to
Field is compared to be checked.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109490622A (en) * | 2018-11-10 | 2019-03-19 | 王浩 | A kind of electricity data calibration technology based on tri-state information |
| CN109685272A (en) * | 2018-12-26 | 2019-04-26 | 国网上海市电力公司 | A kind of electricity charge acquisition is entered an item of expenditure in the accounts data rule optimization method |
| CN110866035A (en) * | 2019-10-31 | 2020-03-06 | 国网福建省电力有限公司厦门供电公司 | Method and system for detecting abnormal electricity quantity and electricity charge |
| CN111061718A (en) * | 2019-12-19 | 2020-04-24 | 中国建设银行股份有限公司 | Data checking method and device |
| CN111583063A (en) * | 2020-05-11 | 2020-08-25 | 国网四川省电力公司电力科学研究院 | Business start and end time detection method based on standard template and storage medium |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101026647A (en) * | 2007-04-09 | 2007-08-29 | 中国网络通信集团公司 | Telecommunication income check dynamic hierarchical management system and method |
| US20130173322A1 (en) * | 2011-12-30 | 2013-07-04 | Schneider Electric USA, Inc. | Energy Management with Correspondence Based Data Auditing Signoff |
| CN103473472A (en) * | 2013-09-26 | 2013-12-25 | 深圳市华傲数据技术有限公司 | Quartile graph-based data quality detection method and system |
| CN103713275A (en) * | 2013-10-24 | 2014-04-09 | 国网安徽省电力公司 | Method judging electric energy meter metering inaccuracy abnormities based on multidimensional association rule algorithm |
| CN104123134A (en) * | 2014-07-07 | 2014-10-29 | 四川中电启明星信息技术有限公司 | Intelligent electricity use data management method and system based on AMI and J2EE |
| CN105184875A (en) * | 2015-08-25 | 2015-12-23 | 广州新软计算机技术有限公司 | Rate calculating and splitting system and method at complex path |
| CN105976120A (en) * | 2016-05-17 | 2016-09-28 | 全球能源互联网研究院 | Electric power operation monitoring data quality assessment system and method |
| CN106251049A (en) * | 2016-07-25 | 2016-12-21 | 国网浙江省电力公司宁波供电公司 | A kind of electricity charge risk model construction method of big data |
| CN106408125A (en) * | 2016-09-22 | 2017-02-15 | 国网上海市电力公司 | Intelligent low-voltage centralized meter-reading and rechecking management and control system |
| CN106443168A (en) * | 2016-09-27 | 2017-02-22 | 国网山东省电力公司济南供电公司 | Remote acquisition meter reading data analysis system |
-
2017
- 2017-09-14 CN CN201710826566.3A patent/CN107657544A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101026647A (en) * | 2007-04-09 | 2007-08-29 | 中国网络通信集团公司 | Telecommunication income check dynamic hierarchical management system and method |
| US20130173322A1 (en) * | 2011-12-30 | 2013-07-04 | Schneider Electric USA, Inc. | Energy Management with Correspondence Based Data Auditing Signoff |
| CN103473472A (en) * | 2013-09-26 | 2013-12-25 | 深圳市华傲数据技术有限公司 | Quartile graph-based data quality detection method and system |
| CN103713275A (en) * | 2013-10-24 | 2014-04-09 | 国网安徽省电力公司 | Method judging electric energy meter metering inaccuracy abnormities based on multidimensional association rule algorithm |
| CN104123134A (en) * | 2014-07-07 | 2014-10-29 | 四川中电启明星信息技术有限公司 | Intelligent electricity use data management method and system based on AMI and J2EE |
| CN105184875A (en) * | 2015-08-25 | 2015-12-23 | 广州新软计算机技术有限公司 | Rate calculating and splitting system and method at complex path |
| CN105976120A (en) * | 2016-05-17 | 2016-09-28 | 全球能源互联网研究院 | Electric power operation monitoring data quality assessment system and method |
| CN106251049A (en) * | 2016-07-25 | 2016-12-21 | 国网浙江省电力公司宁波供电公司 | A kind of electricity charge risk model construction method of big data |
| CN106408125A (en) * | 2016-09-22 | 2017-02-15 | 国网上海市电力公司 | Intelligent low-voltage centralized meter-reading and rechecking management and control system |
| CN106443168A (en) * | 2016-09-27 | 2017-02-22 | 国网山东省电力公司济南供电公司 | Remote acquisition meter reading data analysis system |
Non-Patent Citations (2)
| Title |
|---|
| 原伟林: ""面向智能电网的远程费控系统研究"", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》 * |
| 黄宁等: "自动抄表核算与电费异常智能诊断技术应用的初探", 《中国电业(技术版)》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109490622A (en) * | 2018-11-10 | 2019-03-19 | 王浩 | A kind of electricity data calibration technology based on tri-state information |
| CN109685272A (en) * | 2018-12-26 | 2019-04-26 | 国网上海市电力公司 | A kind of electricity charge acquisition is entered an item of expenditure in the accounts data rule optimization method |
| CN110866035A (en) * | 2019-10-31 | 2020-03-06 | 国网福建省电力有限公司厦门供电公司 | Method and system for detecting abnormal electricity quantity and electricity charge |
| CN111061718A (en) * | 2019-12-19 | 2020-04-24 | 中国建设银行股份有限公司 | Data checking method and device |
| CN111583063A (en) * | 2020-05-11 | 2020-08-25 | 国网四川省电力公司电力科学研究院 | Business start and end time detection method based on standard template and storage medium |
| CN111583063B (en) * | 2020-05-11 | 2022-07-01 | 国网四川省电力公司电力科学研究院 | Business start and end time detection method based on standard template and storage medium |
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